Dawn Waterworth

49.6k total citations · 1 hit paper
82 papers, 4.8k citations indexed

About

Dawn Waterworth is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Dawn Waterworth has authored 82 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 26 papers in Endocrinology, Diabetes and Metabolism and 24 papers in Epidemiology. Recurrent topics in Dawn Waterworth's work include Genetic Associations and Epidemiology (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Liver Disease Diagnosis and Treatment (14 papers). Dawn Waterworth is often cited by papers focused on Genetic Associations and Epidemiology (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Liver Disease Diagnosis and Treatment (14 papers). Dawn Waterworth collaborates with scholars based in United Kingdom, United States and Switzerland. Dawn Waterworth's co-authors include Davinia White, Vincent Mooser, Stephen Franks, Gérard Waeber, Mark I. McCarthy, Neda Gharani, Péter Vollenweider, Robert Williamson, Xin Yuan and Philippa J. Talmud and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Dawn Waterworth

81 papers receiving 4.7k citations

Hit Papers

The CoLaus study: a popul... 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome
    2008 520 citations Pedro Marques‐Vidal, Murielle Bochud et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dawn Waterworth United Kingdom 32 1.2k 1.1k 1.1k 910 874 82 4.8k
Christian L. Roth United States 42 1.2k 1.0× 1.1k 1.0× 1.7k 1.5× 741 0.8× 762 0.9× 155 5.7k
Melanie Cree‐Green United States 36 1.3k 1.0× 1.1k 1.0× 1.3k 1.2× 696 0.8× 364 0.4× 153 4.8k
Henri Wallaschofski Germany 51 1.2k 1.0× 1.4k 1.2× 4.8k 4.3× 615 0.7× 753 0.9× 249 8.6k
Kristen J. Nadeau United States 43 1.3k 1.1× 975 0.9× 3.7k 3.3× 1.1k 1.2× 1.4k 1.6× 231 7.1k
Emanuele Miraglia del Giudice Italy 40 1.1k 0.9× 977 0.9× 928 0.8× 602 0.7× 524 0.6× 269 5.5k
Konstantinos A. Toulis Greece 35 677 0.6× 600 0.5× 1.6k 1.4× 719 0.8× 267 0.3× 109 4.3k
Agathocles Tsatsoulis Greece 43 457 0.4× 1.2k 1.1× 2.0k 1.8× 817 0.9× 919 1.1× 131 5.0k
Mark O. Goodarzi United States 47 928 0.8× 1.8k 1.6× 1.7k 1.5× 2.4k 2.6× 1.4k 1.6× 168 7.7k
Jean Tichet France 41 1.1k 0.9× 975 0.9× 1.9k 1.6× 967 1.1× 911 1.0× 142 6.2k
Junfen Fu China 33 702 0.6× 666 0.6× 1.0k 0.9× 450 0.5× 621 0.7× 204 3.3k

Countries citing papers authored by Dawn Waterworth

Since Specialization
Citations

This map shows the geographic impact of Dawn Waterworth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dawn Waterworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Waterworth more than expected).

Fields of papers citing papers by Dawn Waterworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn Waterworth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dawn Waterworth. The network helps show where Dawn Waterworth may publish in the future.

Co-authorship network of co-authors of Dawn Waterworth

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Waterworth. A scholar is included among the top collaborators of Dawn Waterworth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dawn Waterworth. Dawn Waterworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sridhar, Siddharth, Shadi Yarandi, Matthew Germinaro, et al.. (2025). P0061 Guselkumab induction therapy results in molecular resolution of inflammation in moderately to severely active Ulcerative Colitis: results from the Phase 3 QUASAR induction study. Journal of Crohn s and Colitis. 19(Supplement_1). i421–i422.
2.
Sridhar, Saranya, Darren Ruane, Daniel Horowitz, et al.. (2024). OP23 Guselkumab induction restores intestinal immune homeostasis and promotes epithelial repair in moderately to severely active Ulcerative Colitis. Journal of Crohn s and Colitis. 18(Supplement_1). i41–i41. 2 indexed citations
3.
Choquet, Hélène, Khanh K. Thai, J Chen, et al.. (2020). Meta-Analysis of 26 638 Individuals Identifies Two Genetic Loci Associated With Left Ventricular Ejection Fraction. Circulation Genomic and Precision Medicine. 13(4). e002804–e002804. 14 indexed citations
4.
Nunez, Derek J., M Alexander, Laura M. Yerges‐Armstrong, et al.. (2018). Factors influencing longitudinal changes of circulating liver enzyme concentrations in subjects randomized to placebo in four clinical trials. American Journal of Physiology-Gastrointestinal and Liver Physiology. 316(3). G372–G386. 5 indexed citations
5.
Alexander, M, A. Katrina Loomis, Johan van der Lei, et al.. (2018). Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease. BMC Medicine. 16(1). 130–130. 174 indexed citations
6.
Ziauddeen, Hisham, Liam J. Nestor, Naresh Subramaniam, et al.. (2016). Opioid Antagonists and the A118G Polymorphism in the μ-Opioid Receptor Gene: Effects of GSK1521498 and Naltrexone in Healthy Drinkers Stratified by OPRM1 Genotype. Neuropsychopharmacology. 41(11). 2647–2657. 15 indexed citations
7.
Millwood, Iona Y., Derrick Bennett, Robin Walters, et al.. (2016). A phenome-wide association study of a lipoprotein-associated phospholipase A2loss-of-function variant in 90 000 Chinese adults. International Journal of Epidemiology. 45(5). 1588–1599. 29 indexed citations
8.
Dębiec, Radosław, Paraskevi Christofidou, Matthew Denniff, et al.. (2013). Urotensin-II System in Genetic Control of Blood Pressure and Renal Function. PLoS ONE. 8(12). e83137–e83137. 12 indexed citations
9.
Mather, Kieren J., Christopher Christophi, K. A. Jablonski, et al.. (2012). Common variants in genes encoding adiponectin (ADIPOQ) and its receptors (ADIPOR1/2), adiponectin concentrations, and diabetes incidence in the Diabetes Prevention Program. Diabetic Medicine. 29(12). 1579–1588. 23 indexed citations
10.
Wang, Kai, Andrew C. Edmondson, Mingyao Li, et al.. (2011). Pathway-Wide Association Study Implicates Multiple Sterol Transport and Metabolism Genes in HDL Cholesterol Regulation. SHILAP Revista de lepidopterología. 2. 41–41. 9 indexed citations
11.
Marques‐Vidal, Pedro, S. Velho, Dawn Waterworth, et al.. (2011). The association between inflammatory biomarkers and metabolically healthy obesity depends of the definition used. European Journal of Clinical Nutrition. 66(4). 426–435. 47 indexed citations
12.
Marques‐Vidal, Pedro, Murielle Bochud, Fred Paccaud, et al.. (2010). No interaction between alcohol consumption and HDL-related genes on HDL cholesterol levels. Atherosclerosis. 211(2). 551–557. 21 indexed citations
13.
Bochud, Murielle, Chin B. Eap, Marc Maillard, et al.. (2008). Association of ABCB1genetic variants with renal function in Africans and in Caucasians. BMC Medical Genomics. 1(1). 21–21. 15 indexed citations
14.
Song, Kijoung, Qing Lu, Xiwu Lin, Dawn Waterworth, & Robert C. Elston. (2007). Genome-wide association studies using an adaptive two-stage analysis for a case-control design. BMC Proceedings. 1(S1). S147–S147. 3 indexed citations
15.
Waterworth, Dawn, Hans Jansen, Viviane Nicaud, Steve E. Humphries, & Philippa J. Talmud. (2004). Interaction between insulin (VNTR) and hepatic lipase (LIPC−514C>T) variants on the response to an oral glucose tolerance test in the EARSII group of young healthy men. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1740(3). 375–381. 9 indexed citations
16.
Mooser, Vincent, et al.. (2003). Cardiovascular pharmacogenetics in the SNP era. Journal of Thrombosis and Haemostasis. 1(7). 1398–1402. 20 indexed citations
17.
Talmud, Philippa J. & Dawn Waterworth. (2000). In-vivo and in-vitro nutrient-gene interactions. Current Opinion in Lipidology. 11(1). 31–36. 20 indexed citations
18.
Franks, Stephen, Neda Gharani, Dawn Waterworth, et al.. (1998). Current Developments in the Molecular Genetics of the Polycystic Ovary Syndrome. Trends in Endocrinology and Metabolism. 9(2). 51–54. 10 indexed citations
19.
Franks, Stephen, Davinia White, Carole Gilling‐Smith, et al.. (1996). Hypersecretion of androgens by polycystic ovaries: The role of genetic factors in the regulation of cytochrome P450c17α. Baillière s Clinical Endocrinology and Metabolism. 10(2). 193–203. 30 indexed citations
20.
Carey, Adam, Dawn Waterworth, Davinia White, et al.. (1994). Polycystic ovaries and premature male pattern baldness are associated with one allele of the steroid metabolism gene CYP17. Human Molecular Genetics. 3(10). 1873–1876. 372 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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